心血管高危患者心血管事件的心电图预测指标:一项多中心研究

R. Krittayaphong, M. Muenkaew, Polakit Chiewvit, N. Ratanasit, Y. Kaolawanich, A. Phrommintikul
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引用次数: 13

摘要

背景:关于心电图(ECG)异常的患病率及其在高危心血管患者中预测主要心血管不良事件(MACE)的价值的数据有限。本研究旨在确定心血管事件高危患者心电图异常的患病率,并确定心电图异常对MACE的显著预测。方法2011年4月至2014年3月,在6家参与医院门诊连续招募年龄≥45岁的确诊动脉粥样硬化性疾病(EAD)患者。收集以下资料:人口统计资料、心血管危险因素、心血管事件史、体格检查、心电图和用药情况。心电图分析采用明尼苏达法典标准。MACE包括心血管死亡、非致死性心肌梗死和因不稳定型心绞痛或心力衰竭而住院。结果共纳入2009例患者,其中1048例(52.2%)存在EAD, 961例(47.8%)存在多重危险因素(MRF)。心电图异常包括房颤(6.7%)、室性早搏(5.4%)、病理性Q波(Q/QS)(21.3%)、t波倒置(20.0%)、室内室传导延迟(IVCD)(7.3%)、左室肥厚(12.2%)、房室传导阻滞(12.5%)。MACE发生88例(4.4%)。MACE的独立预测因子为慢性肾病、EAD、房颤、Q/QS、IVCD或LVH的存在。结论心电图异常发生率高。即使在没有记录在案的心血管疾病的危险因素中,ECG异常的患病率也很高。
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Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: a multicenter study
Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE. Methods Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure. Results A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS) (21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD) (7.3%), left ventricular hypertrophy (LVH) (12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG. Conclusions A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease.
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